Paper
17 October 2013 C/X-band SAR interferometry applied to ground monitoring: examples and new potential
Raffaele Nutricato, Davide Oscar Nitti, Fabio Bovenga, Alberto Refice, Janusz Wasowski, Maria Teresa Chiaradia
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Abstract
Classical applications of the MTInSAR techniques have been carried out in the past on medium resolution data acquired by the ERS, Envisat (ENV) and Radarsat sensors. The new generation of high-resolution X-Band SAR sensors, such as TerraSAR-X (TSX) and the COSMO-SkyMed (CSK) constellation allows acquiring data with spatial resolution reaching metric/submetric values. Thanks to the finer spatial resolution with respect to C-band data, X-band InSAR applications result very promising for monitoring single man-made structures (buildings, bridges, railways and highways), as well as landslides. This is particularly relevant where C-band data show low density of coherent scatterers. Moreover, thanks again to the higher resolution, it is possible to infer reliable estimates of the displacement rates with a number of SAR scenes significantly lower than in C-band within the same time span or by using more images acquired in a narrower time span. We present examples of the application of a Persistent Scatterers Interferometry technique, namely the SPINUA algorithm, to data acquired by ENV, TSX and CSK on selected number of sites. Different cases are considered concerning monitoring of both instable slopes and infrastructure. Results are compared and commented with particular attention paid to the advantages provided by the new generation of X-band high resolution space-borne SAR sensors.
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Raffaele Nutricato, Davide Oscar Nitti, Fabio Bovenga, Alberto Refice, Janusz Wasowski, and Maria Teresa Chiaradia "C/X-band SAR interferometry applied to ground monitoring: examples and new potential", Proc. SPIE 8891, SAR Image Analysis, Modeling, and Techniques XIII, 88910C (17 October 2013); https://doi.org/10.1117/12.2029096
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Cited by 3 scholarly publications.
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KEYWORDS
Synthetic aperture radar

X band

Picosecond phenomena

Sensors

Landslides

Interferometry

Spatial resolution

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